Machine Learning and Quantum Machine Learning
(betreut durch: Hamza Gardi)
| Titel |
Typ |
Forschungsthema |
| Exploring the Power and Potential of Grover's Algorithm in Quantum Computing |
MA |
Quantum Computing, Implementation of quantum algorithms, Comparison of algorithms |
| Neural Ghost Imaging: Implicit Representations |
MA |
Ghost Imaging & Compressed Sensing, Implicit Neural Representations (INR), Physics-Informed Reconstruction, Quantum Optics (Two-Mode Squeezed Vacuum), Covariance-based learning |
| Reference-Calibrated Open-Vocabulary Anomaly Segmentation with Vision-Language Models |
MA |
Computer Vision; Machine Learning, Vision-Language Models, Industrial Anomaly Detection, Dense Prediction / Segmentation, Model Calibration and Reliability |
| Adaptive Frequency-Domain Supervision for Generative Image Reconstruction |
MA |
Image Processing; Computer Vision, Generative Models, Diffusion Models, Inverse Problems, Frequency-Domain Learning |
| Physics-Informed Neural Receivers for Quantum Illumination |
MA |
Quantum Machine Learning & Sensing, Physics-Informed Deep Learning, Signal Detection in low SNR regimes, Synthetic Data Generation from physical models, Covariance-based feature extraction |
| Safe Reinforcement Learning for Autonomous Quantum Calibration |
MA |
Safe Reinforcement Learning, Quantum Control (OPO Stabilization), Sim-to-Real Transfer strategies, Hybrid Control Systems, Robotics and Autonomous Calibration |
| Adapting Foundation Models (SAM) for Quantum Microscopy |
MA |
Foundation Models/Generative AI, Parameter-Efficient Fine-Tuning (PEFT), Quantum Phase Microscopy, Zero-Shot and Few-Shot Learning, Domain Adaptation (Natural to Physics images) |
| Camera-Uncertainty-Aware Metric Monocular Depth Estimation |
MA |
Computer Vision; 3D Vision, Monocular Depth Estimation, Robust Machine Learning, Camera Geometry, Metric Scene Understanding |
| Semantic Segmentation at the Shot-Noise Limit |
MA |
Computational Photography/Low-Light Vision, Quantum Imaging (Squeezed Light statistics), Semantic Segmentation & Edge Detection, Noise-aware Deep Learning, Synthetic Microscopy Data Generation |
| Closed-Loop Data Synthesis for Long-Tail Detection |
MA |
Generative AI for Computer Vision, Long-Tail Object Detection, Closed-Loop/Feedback-driven Learning (CNNs), Synthetic Data Generation, Uncertainty Estimation |
Auf Anfrage interessante Themen im Bereich Machine Learning möglich. |
